Environmental impacts of barley cultivation under current and future climatic conditions

Dijkman, Teunis Johannes; Birkved, Morten; Saxe, Henrik; Wenzel, Henrik; Hauschild, Michael Zwicky

doi:10.1016/j.jclepro.2016.05.154

Cited by 23 publications

(19 citation statements)

References 22 publications

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“…We refer to this version in the following text as 'adapted PestLCI model'. Rosenbaum et al 2008;Fantke et al 2017bHenderson et al 2011Rosenbaum et al 2011;Westh et al 2015Juraske et al 2009Berthoud et al 2011;Vázquez-Rowe et al 2012;Dijkman et al 2017;Hunt et al 2017 Used in combination with PestLCI or dynamiCROP: Fantke et al 2011b;Vázquez-Rowe et al 2012Ingwersen 2012;Dijkman 2013;Antón et al 2014;Xue et al 2015;Renaud-Gentié et al 2015; Fantke and Jolliet 2016 dynamiCROP Fantke et al 2011a,b Fantke et al 2012b, 2013Fantke andJolliet 2016 Juraske et al 2011;Fantke et al 2011a;Juraske et al 2012;Itoiz et al 2012;Fantke et al 2012a;Jacobsen et al 2015;Fantke and Jolliet 2016;Feng et al 2018 *only one study for tropical conditions Fig. 1: Life cycle inventory and impact assessment models for evaluating pesticides, their inputs, outputs and interconnections…”

Section: Pesticide Modelling In Lcamentioning

confidence: 99%

Challenges and ways forward in pesticide emission and toxicity characterization modeling for tropical conditions

Gentil-Sergent

Fantke

Mottes

et al. 2019

Int J Life Cycle Assess

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Purpose In tropical cropping systems, pesticides are extensively used to fight pests and ensure high crop yields. However, pesticide use also leads to environmental and health impacts. While pesticide emissions and impacts are influenced by farm management practices and environmental conditions, available Life Cycle Inventory (LCI) emission models and Life Cycle Impact Assessment (LCIA) toxicity characterization models are generally designed based on temperate conditions. There is, hence, a need for adapting LCI and LCIA models for evaluating pesticides under tropical conditions. To address this need, we aim to identify the characteristics that determine pesticide emissions and related impacts under tropical conditions, and to assess to what extent LCI and LCIA models need to be adapted to better account for these conditions. Methods We investigated the state-of-knowledge with respect to characteristics that drive pesticide emission patterns, environmental fate, human and ecological exposures, and toxicological effects under tropical conditions. We then discuss the applicability of existing LCI and LCIA models to tropical regions as input for deriving specific recommendations for future modeling refinements. Results and discussion Our results indicate that many pesticide-related environmental processes, such as degradation and volatilization, show higher kinetic rates under tropical conditions mainly due to higher temperatures, sunlight radiation, and microbial activity. Heavy and frequent rainfalls enhance leaching and runoff. Specific soil characteristics (e.g., low pH), crops, and cropping systems (e.g., mulching) are important drivers of distinct pesticide emission patterns under tropical conditions. Adapting LCI models to tropical conditions implies incorporating specific features of tropical cropping systems (e.g., intercropping, ground cover management), specific drift curves for tropical pesticide application techniques, and better addressing leaching processes. The validity domain of the discussed LCI and LCIA models could be systematically extended to tropical regions by considering tropical soil types, climate conditions, and crops, and adding active substances applied specifically under tropical conditions, including the consideration of late applications of pesticides before harvest and their effect on crop residues and subsequent human intake. Conclusions Current LCI and LCIA models are not fully suitable for evaluating pesticide emissions and impacts for crops cultivated in tropical regions. Models should be adapted and parameterized to better account for various characteristics influencing emission and impact patterns under tropical conditions using best available data and knowledge. Further research is urgently required to improve our knowledge and data with respect to understanding and evaluating pesticide emission and impact processes under tropical conditions.

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Section: Pesticide Modelling In Lcamentioning

confidence: 99%

Challenges and ways forward in pesticide emission and toxicity characterization modeling for tropical conditions

Gentil-Sergent

Fantke

Mottes

et al. 2019

Int J Life Cycle Assess

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“…Lack of attention to climate changes at the present time is fraught with major economic consequences in the future [17][18][19]. No economy in the world today is able to actively resist global climate changes and the increasing frequency of formation of extreme weather events.…”

Section: Research Resultsmentioning

confidence: 99%

The Use of Multivariate Factor Analysis in the Selection of Spring Barley for Adaptability to Various Environmental Conditions

Akzhunis¹

2021

KAZATU

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Multivariate analysis of variance of quantitative and morpho-biological traits of 155 samples of barley (Hordeum vulgare L.) of different ecological and geographical origin made it possible to identify the most adaptively valuable traits, which include the germination rate under saline conditions, the total weight of 14-day-old seedlings, the number and length of seminal roots. Of the production traits, the number of grains per ear, grain weight per ear and protein content in combination with early maturity are significant. Statistical analysis of the data has shown that the studied variety samples according to the “number of grains per ear” and “grain weight per ear” traits demonstrate a consistently high positive correlation relationship, regardless of the years of study and their cultivation areas. In this regard, the “number of grains per ear” trait can be used as the main factor in increasing crop yields in adverse ecosystems of the Aral Sea region of Kazakhstan.

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“…Finally, we draw the attention to the work by Dijkman et al [55], where the environmental impact of barley cultivation under current and future climatic conditions is analyzed using aLCA. Dijkman et al [55] found that a predicted decrease in barley yields under future climate conditions is the main driver for increased impacts. An increased impact was not substantiated by the present study based on cLCA and including all of the ingredients of compound pig feed.…”

Section: Limits and Uncertaintiesmentioning

confidence: 99%

Production of Pig Feed under Future Atmospheric CO2 Concentrations: Changes in Crop Content and Chemical Composition, Land Use, Environmental Impact, and Socio-Economic Consequences

Saxe¹,

Hamelin

Hinrichsen³

2018

Sustainability

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With the rising atmospheric CO2, crops will assimilate more carbon. Yields will increase in terms of carbohydrates while diluting the content of protein and minerals in compound pig feed, calling for an altered formulation with more protein and less carbohydrate crops to maintain its nutritional value. Using crop response data from CO2 exposures in a linear modeling of feed formulation, we apply a consequential life cycle assessment (cLCA) to model all of the environmental impacts and socio-economic consequences that altered crop yields and chemical composition at elevated CO2 levels have on feed formulation, targeting altered amino acid contents rather than overall protein. An atmospheric CO2 of 550 µmole mole−1 gives rise to a 6% smaller demand for land use for pig feed production. However, feed produced at this CO2 must include 23% more soymeal and 5% less wheat than at present in order to keep its nutritional value. This counteracts the yield benefit. The monetized environmental cost of producing pig feed, where sunflower and soy contribute the most, equals the direct feed price in both scenarios. If external costs were internalized, honoring the Rio Declaration, feed prices would double. In contrast, the future composition of pig feed will increase the direct price by only 0.8%, while the external cost decreases by only 0.3%.

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Environmental impacts of barley cultivation under current and future climatic conditions

Cited by 23 publications

References 22 publications

Challenges and ways forward in pesticide emission and toxicity characterization modeling for tropical conditions

Challenges and ways forward in pesticide emission and toxicity characterization modeling for tropical conditions

The Use of Multivariate Factor Analysis in the Selection of Spring Barley for Adaptability to Various Environmental Conditions

Production of Pig Feed under Future Atmospheric CO2 Concentrations: Changes in Crop Content and Chemical Composition, Land Use, Environmental Impact, and Socio-Economic Consequences

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